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<table width="100%" summary="page for diamonds"><tr><td>diamonds</td><td align="right">R Documentation</td></tr></table>

<h2>Prices of 50,000 round cut diamonds</h2>

<h3>Description</h3>


<p>A dataset containing the prices and other attributes of
almost 54,000 diamonds. The variables are as follows:
</p>


<h3>Format</h3>

<p>A data frame with 53940 rows and 10 variables</p>


<h3>Details</h3>


 <ul>
<li><p> price. price in US dollars
(\$326&ndash;\$18,823) </p>
</li>
<li><p> carat. weight of the diamond
(0.2&ndash;5.01) </p>
</li>
<li><p> cut. quality of the cut (Fair, Good,
Very Good, Premium, Ideal) </p>
</li>
<li><p> colour. diamond colour,
from J (worst) to D (best) </p>
</li>
<li><p> clarity. a measurement
of how clear the diamond is (I1 (worst), SI1, SI2, VS1,
VS2, VVS1, VVS2, IF (best)) </p>
</li>
<li><p> x. length in mm
(0&ndash;10.74) </p>
</li>
<li><p> y. width in mm (0&ndash;58.9) </p>
</li>
<li><p> z. depth
in mm (0&ndash;31.8) </p>
</li>
<li><p> depth. total depth percentage = z /
mean(x, y) = 2 * z / (x + y) (43&ndash;79) </p>
</li>
<li><p> table. width
of top of diamond relative to widest point (43&ndash;95) </p>
</li></ul>



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